How to Install and Uninstall qrmumps.x86_64 Package on Fedora 35
Last updated: January 12,2025
1. Install "qrmumps.x86_64" package
This guide let you learn how to install qrmumps.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
qrmumps.x86_64
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2. Uninstall "qrmumps.x86_64" package
Please follow the guidelines below to uninstall qrmumps.x86_64 on Fedora 35:
$
sudo dnf remove
qrmumps.x86_64
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$
sudo dnf autoremove
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3. Information about the qrmumps.x86_64 package on Fedora 35
Last metadata expiration check: 5:45:37 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : qrmumps
Version : 3.0.2
Release : 3.fc35
Architecture : x86_64
Size : 311 k
Source : qrmumps-3.0.2-3.fc35.src.rpm
Repository : fedora
Summary : A multithreaded multifrontal QR solver
URL : http://buttari.perso.enseeiht.fr/qr_mumps/
License : LGPLv3+
Description : qr_mumps is a software package for the solution of sparse,
: linear systems on multicore computers.
: It implements a direct solution method based on the QR
: factorization of the input matrix. Therefore, it is suited
: to solving sparse least-squares problems and to computing
: the minimum-norm solution of sparse, underdetermined problems.
: It can obviously be used for solving square problems in which
: case the stability provided by the use of orthogonal transformations
: comes at the cost of a higher operation count with respect to solvers
: based on, e.g., the LU factorization.
: qr_mumps supports real and complex, single or double precision arithmetic.
Available Packages
Name : qrmumps
Version : 3.0.2
Release : 3.fc35
Architecture : x86_64
Size : 311 k
Source : qrmumps-3.0.2-3.fc35.src.rpm
Repository : fedora
Summary : A multithreaded multifrontal QR solver
URL : http://buttari.perso.enseeiht.fr/qr_mumps/
License : LGPLv3+
Description : qr_mumps is a software package for the solution of sparse,
: linear systems on multicore computers.
: It implements a direct solution method based on the QR
: factorization of the input matrix. Therefore, it is suited
: to solving sparse least-squares problems and to computing
: the minimum-norm solution of sparse, underdetermined problems.
: It can obviously be used for solving square problems in which
: case the stability provided by the use of orthogonal transformations
: comes at the cost of a higher operation count with respect to solvers
: based on, e.g., the LU factorization.
: qr_mumps supports real and complex, single or double precision arithmetic.